import pandas as pd
import numpy as np

# create seria
s =  pd.Series([1,3,5,np.nan,6,8])
print("--------------- s")
print(s)

# create with DatetimeIndex
dates = pd.date_range('20130101', periods=6)
df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))
print("--------------- df")
print(df)

# create with  dict
df2 = pd.DataFrame({'A' : 1.,
                    'B' : pd.Timestamp('20130102'),
                    'C' : pd.Series(1, index=list(range(4)), dtype='float32'),
                    'D' : np.array([3] * 4, dtype='int32'),
                    'E' : pd.Categorical(["test", "train", "test", "train"]),
                    'F' : 'foo'})
print("--------------- df2")
print(df2)